{"id":9078,"date":"2016-03-24T10:44:11","date_gmt":"2016-03-24T10:44:11","guid":{"rendered":"https:\/\/eu.syspro.com\/blog\/the-human-side-of-machine-learning\/"},"modified":"2021-03-04T14:49:14","modified_gmt":"2021-03-04T14:49:14","slug":"the-human-side-of-machine-learning","status":"publish","type":"post","link":"https:\/\/eu.syspro.com\/blog\/erp-for-manufacturing\/the-human-side-of-machine-learning\/","title":{"rendered":"The Human Side of Machine Learning"},"content":{"rendered":"<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\"> 2<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span><p>The <strong>fight between man and machine<\/strong> has bounced off movie screens, leapt out of the pages of fiction novels and set up battle stations in the real world.<\/p>\n<p>South Korean Go champion, Lee Se-dol, recently snatched victory from <a href=\"https:\/\/en.wikipedia.org\/wiki\/AlphaGo\">AlphaGo<\/a>, the artificial intelligence (AI) program developed by Google\u2019s DeepMind unit, after suffering three consecutive defeats. The match, consisting of five games, has been hailed as an important gauge of the progress that is being made in the AI research space, particularly since Go is still considered to be too intricate a game for most computers to challenge top professionals.\u00a0<!--more--><\/p>\n<p>Go has its origins around 3,000 years ago in China and has a near-infinite number of moves that combine intuition with calculation in equal measures. This is what makes it such a challenge for computers that rely on brute-force number crunching.<\/p>\n<p>DeepMind\u2019s AlphaGo uses programming modeled on biological processes to replicate human instincts, as well as self-learning through millions of games against itself. The advanced system, based on deep neural networks and machine learning, will ultimately have much more important applications than board game dominance.<\/p>\n<p>The Google unit have indicated that DeepMind\u2019s machine learning techniques will be useful in robotics, smartphone assistant systems, and healthcare. And, while gaming is both entertaining and socially relevant, it is these applications that will have the biggest impact on the world as we know it.<\/p>\n<p>Think about computers that are able to learn in order to assist human beings with more effective decision-making. Computers that are able to solve previously unsolved problems. Computers that are able to transform industries. Computers that are able to make sense of an increasingly complicated world.<\/p>\n<p>The possibilities are seemingly endless.<\/p>\n<p>And this brings me to the point of this blog. As advances in machine learning begin to permeate our everyday lives, let us not forget that it is the power of the software developers\u2019 algorithms that breathes life into this otherwise inanimate object. The human-in-the-loop (HITL) factor can never be disregarded. And it is this unassailable truth that makes the struggle between man and machine so infinitely fascinating.<\/p>\n<p>It is only through extensive research and development, passion, commitment, and abundant creativity that this closely run race continues to enrich our lives and extend the boundaries of what we thought was possible.<\/p>\n<p>\u201cThe question of whether a computer can think is no more interesting than the question of whether a submarine can swim.\u201d <strong>EDSGER DIJKSTRA<\/strong>, attributed, <em>Mechatronics Volume 2: Concepts in Artificial Intelligence<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The fight between man and machine has bounced off movie screens, leapt out of the pages of fiction novels and set up battle stations in the real world. South Korean Go champion, Lee Se-dol, recently snatched victory from AlphaGo, the artificial intelligence (AI) program developed by Google\u2019s DeepMind unit, after suffering three consecutive defeats. The &#8230; <a title=\"The Human Side of Machine Learning\" class=\"read-more\" href=\"https:\/\/eu.syspro.com\/blog\/erp-for-manufacturing\/the-human-side-of-machine-learning\/\" aria-label=\"Read more about The Human Side of Machine Learning\">Read more<\/a><\/p>\n","protected":false},"author":142,"featured_media":6592,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[21],"tags":[25],"class_list":["post-9078","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-erp-for-manufacturing","tag-technology-or-enterprise-technology"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Human Side of Machine Learning<\/title>\n<meta name=\"description\" content=\"Artificial Intelligence is not as artificial as we may be led to believe, the human element can never be underestimated\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/eu.syspro.com\/blog\/erp-for-manufacturing\/the-human-side-of-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Human Side of Machine Learning\" \/>\n<meta property=\"og:description\" content=\"Artificial Intelligence is not as artificial as we may be led to believe, the human element can never be underestimated\" \/>\n<meta property=\"og:url\" content=\"https:\/\/eu.syspro.com\/blog\/erp-for-manufacturing\/the-human-side-of-machine-learning\/\" \/>\n<meta property=\"og:site_name\" content=\"SYSPRO Blog\" \/>\n<meta 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